Research Assistant in Data Science

Imperial College London - Department of Computing, Data Science Institute

Qualification type:

PhD

Location:

London

Funding for:

UK Students, EU Students

Funding amount:

£30,129.29
to £38,800.87

Hours:

Full Time

Placed on:

13th March 2018

Closes:

10th April 2018

Reference:

ENG00242

Full time, fixed term for 3 years

To start July 2018

We have an exciting opportunity for a Research Assistant to work at the Data Science Institute (DSI) whilst concurrently joining the PhD programme. The Data Science Institute at Imperial College London is a cross faculty institute that specifically deals with the management, analysis, interpretation and visualization of large and complex datasets.

The PhD studentship is available as part of the Marie Skłodowska-Curie Innovative Training Networks (ITN). These doctoral training programmes bring together academic and industrial organisations allowing researchers to gain knowledge from these different sectors. AiPBAND (An Integrated Platform for Developing Brain CANcer Diagnostic Techniques) is a European Training Network providing a multidisciplinary research and training platform for developing innovative diagnostic techniques for gliomas.

The position will be focussed on developing an intelligent data warehouse for translational research and clinical diagnosis. It will provide an opportunity to gain experience in big data, intelligent data visualisation, bioinformatics and cloud computing.

The objective of this project is to develop an intelligent warehouse for translation research and clinical diagnosis. The new platform will handle variable types of data, with an interface for high performance computing enabling processing the data in real-time. Advanced machine learning approaches will be used to extract relationships between genes, ‘omics data and sensor information, thereby facilitating hypothesis generation for future neurology research.

The project will include 8 months of secondments, to gain industrial and international experience in biosensing and in software development.

To apply you must have:

An excellent first degree (or equivalent) and Masters (or be expecting to obtain) in computing, mathematics, or a similar subject.

Applicants should have knowledge in one or more of:

Machine learning

Data analysis and modelling

Bioinformatics

Experience in handling/processing large datasets

You must have excellent verbal and written communication skills.

The position is full time, funded by the European Commission. It is open to candidates worldwide, subject to the following:

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.